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Poster
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Thu 14:00
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Limited Memory Kelley's Method Converges for Composite Convex and Submodular Objectives
Song Zhou · Swati Gupta · Madeleine Udell
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Poster
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Tue 14:00
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Distributed Learning without Distress: Privacy-Preserving Empirical Risk Minimization
Bargav Jayaraman · Lingxiao Wang · David Evans · Quanquan Gu
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Poster
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Thu 14:00
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Adaptive Online Learning in Dynamic Environments
Lijun Zhang · Shiyin Lu · Zhi-Hua Zhou
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Poster
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Thu 14:00
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Efficient online algorithms for fast-rate regret bounds under sparsity
Pierre Gaillard · Olivier Wintenberger
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Poster
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Wed 7:45
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Fast Rates of ERM and Stochastic Approximation: Adaptive to Error Bound Conditions
Mingrui Liu · Xiaoxuan Zhang · Lijun Zhang · Rong Jin · Tianbao Yang
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Poster
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Wed 7:45
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Rest-Katyusha: Exploiting the Solution's Structure via Scheduled Restart Schemes
Junqi Tang · Mohammad Golbabaee · Francis Bach · Mike Davies
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Poster
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Thu 14:00
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Stochastic Spectral and Conjugate Descent Methods
Dmitry Kovalev · Peter Richtarik · Eduard Gorbunov · Elnur Gasanov
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Poster
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Thu 14:00
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LAG: Lazily Aggregated Gradient for Communication-Efficient Distributed Learning
Tianyi Chen · Georgios Giannakis · Tao Sun · Wotao Yin
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Poster
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Wed 7:45
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Stochastic Primal-Dual Method for Empirical Risk Minimization with O(1) Per-Iteration Complexity
Conghui Tan · Tong Zhang · Shiqian Ma · Ji Liu
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Poster
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Thu 14:00
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Sample Efficient Stochastic Gradient Iterative Hard Thresholding Method for Stochastic Sparse Linear Regression with Limited Attribute Observation
Tomoya Murata · Taiji Suzuki
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Poster
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Wed 7:45
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Sparsified SGD with Memory
Sebastian Stich · Jean-Baptiste Cordonnier · Martin Jaggi
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Poster
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Tue 7:45
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Gradient Sparsification for Communication-Efficient Distributed Optimization
Jianqiao Wangni · Jialei Wang · Ji Liu · Tong Zhang
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